Opioid dependence has become a national public health crisis. Health systems such as the Veterans Health Administration must prioritize interventions under increasing budgetary constraints. I am developing a mathematical decision model to help decision makers determine a portfolio of interventions to invest in that will maximize health and economic benefits. The research work requires knowledge not only from engineering, but also knowledge of medical, behavioral, and economic factors relevant to opioid dependence. I am creating new methodology for quantitatively modeling economic and behavioral implications of policy decisions and will generate an evidence-based policy recommendation for decision makers.